Department of Biology and Wildlife, University of Alaska Fairbanks, Fairbanks, Alaska, United States of America.
Department of Biological Sciences, University of Alaska Anchorage, Anchorage, Alaska, United States of America.
PLoS One. 2018 Jan 10;13(1):e0189865. doi: 10.1371/journal.pone.0189865. eCollection 2018.
Body mass dynamics of animals can indicate critical associations between extrinsic factors and population vital rates. Photogrammetry can be used to estimate mass of individuals in species whose life histories make it logistically difficult to obtain direct body mass measurements. Such studies typically use equations to relate volume estimates from photogrammetry to mass; however, most fail to identify the sources of error between the estimated and actual mass. Our objective was to identify the sources of error that prevent photogrammetric mass estimation from directly predicting actual mass, and develop a methodology to correct this issue. To do this, we obtained mass, body measurements, and scaled photos for 56 sedated Weddell seals (Leptonychotes weddellii). After creating a three-dimensional silhouette in the image processing program PhotoModeler Pro, we used horizontal scale bars to define the ground plane, then removed the below-ground portion of the animal's estimated silhouette. We then re-calculated body volume and applied an expected density to estimate animal mass. We compared the body mass estimates derived from this silhouette slice method with estimates derived from two other published methodologies: body mass calculated using photogrammetry coupled with a species-specific correction factor, and estimates using elliptical cones and measured tissue densities. The estimated mass values (mean ± standard deviation 345±71 kg for correction equation, 346±75 kg for silhouette slice, 343±76 kg for cones) were not statistically distinguishable from each other or from actual mass (346±73 kg) (ANOVA with Tukey HSD post-hoc, p>0.05 for all pairwise comparisons). We conclude that volume overestimates from photogrammetry are likely due to the inability of photo modeling software to properly render the ventral surface of the animal where it contacts the ground. Due to logistical differences between the "correction equation", "silhouette slicing", and "cones" approaches, researchers may find one technique more useful for certain study programs. In combination or exclusively, these three-dimensional mass estimation techniques have great utility in field studies with repeated measures sampling designs or where logistic constraints preclude weighing animals.
动物的体重动态可以指示外在因素与种群生命关键指标之间的重要关联。摄影测量技术可用于估算那些由于生活史导致难以直接获取体重测量值的物种的个体体重。此类研究通常使用方程将摄影测量得出的体积估算值与体重相关联;然而,大多数研究都未能确定估算体重与实际体重之间的误差来源。我们的目标是确定导致摄影测量体重估算无法直接预测实际体重的误差来源,并开发一种解决该问题的方法。为此,我们为 56 只镇静的威德尔海豹(Leptonychotes weddellii)获取了体重、身体测量值和缩放照片。在图像处理程序 PhotoModeler Pro 中创建三维轮廓后,我们使用水平比例尺定义地面平面,然后去除动物估计轮廓的地下部分。然后,我们重新计算体体积并应用预期密度来估算动物体重。我们将从这种轮廓切片方法得出的体重估计值与从其他两种已发表方法得出的估计值进行了比较:一种是使用摄影测量结合特定物种的校正因子计算的体重,另一种是使用椭圆锥体和测量的组织密度计算的估计值。估算的质量值(平均值±标准偏差,校正方程为 345±71kg,轮廓切片为 346±75kg,锥体为 343±76kg)彼此之间以及与实际体重(346±73kg)之间没有统计学差异(方差分析与 Tukey HSD 事后检验,所有两两比较的 p 值均>0.05)。我们得出的结论是,摄影测量得出的体积估算值过高,可能是因为照片建模软件无法正确呈现动物与地面接触的腹侧表面。由于“校正方程”、“轮廓切片”和“锥体”方法之间的逻辑差异,研究人员可能会发现一种技术对某些研究计划更有用。这三种三维质量估算技术结合使用或单独使用,在具有重复测量采样设计或逻辑限制禁止称重动物的野外研究中具有很大的应用价值。